Summary of Linear Transformers with Learnable Kernel Functions Are Better In-context Models, by Yaroslav Aksenov et al.
Linear Transformers with Learnable Kernel Functions are Better In-Context Modelsby Yaroslav Aksenov, Nikita Balagansky, Sofia…
Summary of Lora-drop: Efficient Lora Parameter Pruning Based on Output Evaluation, by Hongyun Zhou et al.
LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluationby Hongyun Zhou, Xiangyu Lu, Wang Xu,…
Summary of Learn to Be Efficient: Build Structured Sparsity in Large Language Models, by Haizhong Zheng et al.
Learn To be Efficient: Build Structured Sparsity in Large Language Modelsby Haizhong Zheng, Xiaoyan Bai,…
Summary of Blackmamba: Mixture Of Experts For State-space Models, by Quentin Anthony et al.
BlackMamba: Mixture of Experts for State-Space Modelsby Quentin Anthony, Yury Tokpanov, Paolo Glorioso, Beren MillidgeFirst…
Summary of Engineering a Large Language Model From Scratch, by Abiodun Finbarrs Oketunji
Engineering A Large Language Model From Scratchby Abiodun Finbarrs OketunjiFirst submitted to arxiv on: 30…
Summary of Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility Of Nli Models, by Erik Arakelyan et al.
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Modelsby Erik Arakelyan, Zhaoqi Liu,…
Summary of How Can Large Language Models Understand Spatial-temporal Data?, by Lei Liu et al.
How Can Large Language Models Understand Spatial-Temporal Data?by Lei Liu, Shuo Yu, Runze Wang, Zhenxun…
Summary of Learning Shortcuts: on the Misleading Promise Of Nlu in Language Models, by Geetanjali Bihani et al.
Learning Shortcuts: On the Misleading Promise of NLU in Language Modelsby Geetanjali Bihani, Julia Taylor…
Summary of Machine Translation with Large Language Models: Prompt Engineering For Persian, English, and Russian Directions, by Nooshin Pourkamali et al.
Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directionsby Nooshin…
Summary of We Need to Talk About Classification Evaluation Metrics in Nlp, by Peter Vickers et al.
We Need to Talk About Classification Evaluation Metrics in NLPby Peter Vickers, Loïc Barrault, Emilio…